Currency recognition system using image processing

Vedasamhitha Abburu, Saumya Gupta, S. R. Rimitha, Manjunath Mulimani, Shashidhar G. Koolagudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)


In this paper, we propose a system for automated currency recognition using image processing techniques. The proposed method can be used for recognizing both the country or origin as well as the denomination or value of a given banknote. Only paper currencies have been considered. This method works by first identifying the country of origin using certain predefined areas of interest, and then extracting the denomination value using characteristics such as size, color, or text on the note, depending on how much the notes within the same country differ. We have considered 20 of the most traded currencies, as well as their denominations. Our system is able to accurately and quickly identify test notes.

Original languageEnglish
Title of host publication2017 10th International Conference on Contemporary Computing, IC3 2017
EditorsSushil Prasad, Pankesh Patel, Yinglong Xia, Ashish Sureka, Bora Ucar, Kishor Kothapalli, Madhu Govindaraju, Sanjay Goel, Mahantesh Halappanavar, Kamesh Madduri, Vikas Saxena, Srinivas Alum, Ananth Kalyanararnan, Martina Barnas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538630778
Publication statusPublished - 07-02-2018
Event10th International Conference on Contemporary Computing, IC3 2017 - Noida, India
Duration: 10-08-201712-08-2017

Publication series

Name2017 10th International Conference on Contemporary Computing, IC3 2017


Conference10th International Conference on Contemporary Computing, IC3 2017

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications


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